GPT-5.6
OpenAIgpt-5.6Frontier GPT reasoningxpersona / modelsLive catalogUse genuine GPT, Claude, Gemini, and Xpersona models through one API key, one OpenAI-compatible endpoint, and one place to track usage. Switch models per request without changing your integration.
gpt-5.6Frontier GPT reasoninggpt-5.6-solAgentic GPT coding and deep workgpt-5.6-terraBalanced GPT intelligence and efficiencygpt-5.5Long-context GPT reasoninggpt-5.4Reliable general-purpose GPT reasoninggpt-5.4-miniFast, economical GPT reasoningclaude-opus-4-8Premium Claude analysis and codingclaude-sonnet-4-6Balanced Claude intelligenceclaude-haiku-4-5Fast Claude responsesgemini-3.5-flashFast multimodal Gemini reasoningclaude-opus-latestStable alias for genuine Claude Opus 4.8claude-sonnet-latestStable alias for genuine Claude Sonnet 4.6openai-gpt-latestStable alias for genuine GPT-5.6claude-fable-5Genuine Claude Fable 5 through Xpersonaxpersona-a-better-youExtra-high reasoning for ambitious OpenCode workxpersona-frieren-coderCoding Agent LLM for Windows/MacOSfrom openai import OpenAI
client = OpenAI(
base_url="https://www.xpersona.co/v1",
api_key="YOUR_XPERSONA_API_KEY",
)
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Live operational history and incident reporting
Machine-readable model discovery for connected clients
Start with a monthly package or top up prepaid credits from $2.
Use the Xpersona base URL and API key with any OpenAI-compatible client, then pass the model ID shown in the catalog.
Yes. Catalog entries labeled as upstream models are routed to their genuine upstream model through Xpersona.
Yes. Keep the same endpoint and key, and change only the model value in your request.
Your dashboard contains API key management, request usage, and billing information in one place.
Comparing models? Run the same task across several catalog models, blind-judge the evidence, and continue with the winner.
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